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Learnings from rapid response efforts to remotely detect landslides triggered by the August 2021 Nippes earthquake and Tropical Storm Grace in Haiti

Author

Listed:
  • Pukar Amatya

    (University of Maryland Baltimore County
    NASA Goddard Space Flight Center)

  • Corey Scheip

    (BGC Engineering)

  • Aline Déprez

    (CNRS - University of Strasbourg)

  • Jean-Philippe Malet

    (CNRS - University of Strasbourg
    CNRS - University of Strasbourg)

  • Stephen L. Slaughter

    (U.S. Geological Survey)

  • Alexander L. Handwerger

    (California Institute of Technology
    University of California)

  • Robert Emberson

    (University of Maryland Baltimore County
    NASA Goddard Space Flight Center)

  • Dalia Kirschbaum

    (NASA Goddard Space Flight Center)

  • Julien Jean-Baptiste

    (CNRS - University of Strasbourg)

  • Mong-Han Huang

    (University of Maryland)

  • Marin K. Clark

    (University of Michigan)

  • Dimitrios Zekkos

    (University of California)

  • Jhih-Rou Huang

    (University of California)

  • Fabrizio Pacini

    (Terradue Srl)

  • Enguerran Boissier

    (Terradue Srl)

Abstract

On August 14, 2021, a Mw 7.2 earthquake struck the Tiburon Peninsula of western Haiti triggering thousands of landslides. Three days after the earthquake on August 17, 2021, Tropical Storm Grace crossed shallow waters offshore of southern Haiti triggering more landslides worsening the situation. In the aftermath of these events, several organizations with disaster response capabilities or programs activated to provide information on the location of landslides to first responders on the ground. Utilizing remote sensing to support rapid response, one organization manually mapped initiation point of landslides and three automatically detected landslides. The 2021 Haiti event also provided a unique opportunity to test different automated landslide detection methods that utilized both SAR and optical data in a rapid response scenario where rapid situational awareness was critical. As the methods used are highly replicable, the main goal of this study is to summarize the landslide rapid response products released by the organizations, detection methods, quantify accuracy and provide guidelines on how some of the shortcomings encountered in this effort might be addressed in the future. To support this validation, a manually mapped polygon-based landslide inventory covering the entire affected area was created and is also released through this effort.

Suggested Citation

  • Pukar Amatya & Corey Scheip & Aline Déprez & Jean-Philippe Malet & Stephen L. Slaughter & Alexander L. Handwerger & Robert Emberson & Dalia Kirschbaum & Julien Jean-Baptiste & Mong-Han Huang & Marin K, 2023. "Learnings from rapid response efforts to remotely detect landslides triggered by the August 2021 Nippes earthquake and Tropical Storm Grace in Haiti," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 118(3), pages 2337-2375, September.
  • Handle: RePEc:spr:nathaz:v:118:y:2023:i:3:d:10.1007_s11069-023-06096-6
    DOI: 10.1007/s11069-023-06096-6
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    References listed on IDEAS

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